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Order by: Author  Year  Journal

B

Perceptron Learning: The Largest Version Space

Biehl, M. and Opper, M.

Theory of Neural Networks, The Statistical Mechanics Perspective. World Scientific, 59-72. 1995

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The Quantum Lifetime of the Davydov Soliton

Bolterauer, H. and Opper, M.

Z. Phys. B, 95–103. 1991

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Solitons in the Statistical Mechanics of the Toda Lattice

Bolterauer, H. and Opper, M.

Z. Phys. B, 155–161. 1981

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Resonant and Quasiclassical Excitations of Solitons in the Alpha- Helix

Bolterauer, H., Henkel, R. D. and Opper, M.

Structure, Coherence and Chaos in Dynamical Systems. Manchester University Press, 625–631. 1986

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Extended Plefka expansion for stochastic dynamics

Bravi, B., Sollich, P. and Opper, M.

Journal of Physics A: Mathematical and Theoretical, 194003. 2016

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Inferring hidden states in Langevin dynamics on large networks: Average case performance

Bravi, B., Opper, M. and Sollich, P.

Phys. Rev. E. American Physical Society, 012122. 2017

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The Generalization Ability of Perceptrons with Continuous Outputs

Bös, S., Kinzel, W. and Opper, M.

Physical Review E, 1384. 1993

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Dynamics of Training

Bös, S. and Opper, M.

Advances in Neural Information Processing Systems 9. MIT Press, 141-147. 1997

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C

Expectation Propagation for Approximate Inference: Free Probability Framework

Cakmak, B. and Opper, M.

Proceedings of the 2018 IEEE International Symposium on Information Theory (ISIT). IEEE, 1276-1280. 2018

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Bayes-optimal performance in a discrete space

Copelli, M., Broeck, C. V. d. and Opper, M.

Journal of Physics A, L555. 1999

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Sequential, Bayesian geostatistics: A principled method for large data sets

Cornford, D., Csató, L. and Opper, M.

Geographical Analysis, 183-199. 2005

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